Published September 23, 2022 | Version v1
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Machine learning based prediction of layer-by-layer coating thickness

  • 1. Faculty of Engineering, University of Kragujevac (FINK), Kragujevac, Serbia
  • 2. Steinbeis Advanced Risk Technologies Institute doo Kragujevac (SARTIK), Kragujevac, Serbia
  • 3. Bioengineering Research and Development Center (BioIRC), Kragujevac, Serbia
  • 4. INSERM UMR 1121, Biomaterials and Bioengineering laboratory, Strasbourg, France
  • 5. Université de Strasbourg, Faculté de Chirurgie Dentaire, Strasbourg, France
  • 6. Institute of Information Technologies, University of Kragujevac, Kragujevac, Serbia
  • 7. Eindhoven University of Technology, Eindhoven, The Netherlands
  • 8. SPARTHA Medical, Strasbourg, France

Description

Machine learning based prediction of layer-by-layer coating thickness, presented at the Joint KMM-VIN / ViCEM / ESB cross-disciplinary workshop on Biomedical and bioinspired materials and structures: a cross-disciplinary approach combining the 9th KMM-VIN Industrial Workshop Biennial ViCEM Meeting Austrian Chapter Meeting of ESB, Vienna, Austria, 22-23 September, 2022

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Additional details

Funding

SGABU – Increasing scientific, technological and innovation capacity of Serbia as a Widening country in the domain of multiscale modelling and medical informatics in biomedical engineering 952603
European Commission